Biometric Recognition, or simply biometrics, refers to automated recognition of individuals based on their behavioral and biological characteristics. The success of fingerprints in forensics and law enforcement applications, coupled with growing concerns related to national security, financial fraud and cyber attacks, has generated a huge interest in utilizing fingerprints, as well as other biological traits, for automated person recognition. It is, therefore, not surprising to see biometrics permeating various segments of our society. Applications include smartphone security, mobile payment, border crossing, national civil registry, and access to restricted facilities. Despite these successful deployments, there are several existing challenges and new opportunities for person recognition using biometrics. In particular, when biometric data is acquired in an unconstrained environment or if the subject is uncooperative, their low quality and incomplete information content may not be amenable for recognition. As an example, recognizing subjects from face images captured in surveillance video frames is substantially more difficult than recognizing controlled mug shot images. Therefore, additional soft biometric cues such as scars, marks and tattoos may have to be used in conjunction with partial low-resolution face images to recognize a person. In some situations, a face image of the suspect may not even be available. Rather, a composite image rendered by a forensic artist based on verbal descriptions provided by witnesses, may have to be used for recognition purposes. Indeed, some of the more recent biometric applications have a forensic twist to them. This talk will discuss how biometrics evolved from forensics and how its focus is now shifting back to its origin in order to solve some of the challenging problems in biometrics and forensic science. [Go to the full record in the library's catalogue]
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